AI Act

Comply with the AI Act and ensure the responsible use of Artificial Intelligence

The EU Artificial Intelligence Act establishes a legal framework for the development, use, and commercialization of AI systems in Europe, ensuring their safety, transparency, and respect for fundamental rights.

Anticipate legal risks and protect user rights.

Position your company as an innovative and responsible leader for clients, partners, and investors.

Adopt safer, more ethical, and more trustworthy artificial intelligence across all sectors.

Benefits of Compliance with the IA Act

Meeting the requirements of the AI Act gives you legal assurance, market trust, and a leadership position in the responsible use of artificial intelligence.

Avoid Compliance Risks

Gain access to a legal and technical team that helps you classify your AI systems, comply with AI Act requirements, and avoid legal risks or sanctions.

More Business Opportunities

Compliance with the AI Act enhances your reputation with clients, partners, and investors — opening doors to public tenders, EU funding, and strategic collaborations.

Competitive Advantage

Adapting early to the AI Act positions your company as a trustworthy and innovative leader, ready to stand out in a market where ethics and transparency in AI will be essential.

Compliance Process

The path to AI Act compliance unfolds through clear and progressive phases.

Initial Assessment and Risk Analysis

We identify your AI systems, classify them by risk level, and analyze potential legal, ethical, and security gaps.

Policy and Governance Design

We define strategies, transparency and explainability policies, and create a governance framework with clear roles and responsibilities.

Implementation and Control

We apply security measures, document processes, establish internal audits, and ensure continuous risk mitigation.

Certification and Continuous Compliance

We prepare for the external audit, address findings, and support continuous improvement to maintain long-term compliance with the AI Act.

Preguntas frecuentes

What is the AI Act and who does it apply to?

The AI Act (Regulation (EU) 2024/1689) is a European Union regulation that establishes a harmonized legal framework for AI systems. It applies to all developers, providers, operators, importers, and distributors of AI systems that are used or placed on the market within the EU.

What are the risk levels under the AI Act, and how do they differ?

The Act classifies AI systems into four risk levels: unacceptable, high, limited, and minimal or no risk.
- Unacceptable risk systems are prohibited.
- High-risk systems are subject to strict compliance requirements.
- Limited-risk systems must meet transparency and information obligations.
- Minimal-risk systems have few legal obligations, focused mainly on basic assessments and best practices.

What obligations apply to high-risk AI systems?

High-risk AI systems must meet stricter requirements, including: risk assessments, transparency, explainability, internal governance, technical documentation, post-market monitoring, security controls, and audits.

What happens if an AI system is classified as unacceptable risk?

If an AI system is classified as unacceptable risk, its use, marketing, or deployment within the EU is prohibited.
Examples include systems that subliminally manipulate human behavior or that identify individuals in public spaces using real-time biometric recognition without strict safeguards.

How does the AI Act affect companies outside the EU?

Companies located outside the European Union may also be required to comply with the AI Act if their AI systems are used or marketed within the EU. In other words, the regulation has extraterritorial effects to ensure that all AI products or services offered in the EU meet its requirements.

What role do transparency and explainability play in the AI Act?

They are key principles. For high-risk systems and general-purpose AI models (GPAI), the Act requires that:
- Users are informed when they are interacting with an AI system.
- Biases are identified and mitigated.
- Training data and automated decision records are maintained.
- Information about how the system works is accessible and understandable.